docstr: Perform a regex match on a given text using a specified regex pattern.
  
  Parameters:
  text (str): The text to perform the match on.
  regex_pattern (str): The regex pattern to use for the match.
  
  Returns:
  A list of match objects.
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code: def regex(self, decoded_input: str, regex_pattern: str) -> bool:
      """Perform a regex match on a given text using a specified regex pattern.
  
      Parameters:
      text (str): The text to perform the match on.
      regex_pattern (str): The regex pattern to use for the match.
  
      Returns:
      A list of match objects.
      """
      # Compile the regex pattern
      matches = []
      try:
          regex = re.compile(regex_pattern)
          # Perform the match
          matches = regex.findall(decoded_input)
      except Exception:
          logger.warning(
              f"Regex pattern {regex_pattern} could not be compiled."
          )
      # If there is a match, matches is a non-empty list, so we can use this
      # to infer if there was a match or not and return a bool
      return len(matches) > 0
  
imports: import logging
  import re
  from typing import Any, Dict, List, Union
  import torch
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import CATEGORY, LOGITS, PREDICTIONS, PROBABILITIES, TEXT
  from ludwig.decoders.base import Decoder
  from ludwig.decoders.registry import register_decoder
  from ludwig.decoders.utils import extract_generated_tokens
  from ludwig.schema.decoders.llm_decoders import CategoryExtractorDecoderConfig, TextExtractorDecoderConfig
  from ludwig.utils.strings_utils import get_tokenizer
label_desc: Use image node_id 3 for calling the Matcher obj's underlying member method code with example usage: obj.regex(decoded_input, regex_pattern) and returns: unknown